Automation index
How much of a Plasterboard fitter’s job can AI already do?
A setting-out comes earlier. Partition plumb and not hearing the neighbour do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Plasterboard fitter
19%
AI can already do 19% of this job.
#524 / 643
View rankingPlasterboard fitter
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Setting-out, tracks and the board cut list.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Studs, boards and the screw to the noggin.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Insulation, joints and hearing the neighbour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Jointing, corners and the painter behind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Services, pipe runs and not chopping extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Plumb, and not leaving the joint proud.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- fit plasterboard
- set out partitions
- tracks
- jointing
- acoustic insulation
- boards
- corners
- service runs
Sources for this job· O*NET 47-2081.00· ESCO/ISCO 7123
IS WORK OVER?
Olive-oil miller
22%
#355 / 643
View rankingOlive-oil miller
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Intake, yield and the mill log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Crush, malaxate and the decanter.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Temperature, time and the fruitiness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Cellar, the batch and the one that goes rancid.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The campaign, the tractor queue and not heating.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cold for real, and not painting the yield.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- crush olives
- malaxation
- decanter
- fruitiness
- the campaign
- mill yield
- oil cellar
- extraction temperature
Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514